Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 18,021 to 18,030 of 214,033 articles

BCI-Based Assessment of Ocular Response Time Using Dynamic Time Warping Leveraging an RDWT-Driven Deep Neural Framework

arXiv May 14, 2026
Mild traumatic brain injury (mTBI) is a prevalent condition that remains difficult to diagnose in its early stages. Oculomotor dysfunction is a well-established marker of mTBI, motivating the development of portable tools that capture both eye-moveme... read more 
Signal Processing cs.HC cs.LG

HeatKV: Head-tuned KV-cache Compression for Visual Autoregressive Modeling

arXiv May 14, 2026
Visual Autoregressive (VAR) models have recently demonstrated impressive image generation quality while maintaining low latency. However, they suffer from severe KV-cache memory constraints, often requiring gigabytes of memory per generated image. We... read more 
Computer Vision and Pattern Recognition

Unlocking Complex Visual Generation via Closed-Loop Verified Reasoning

arXiv May 14, 2026
Despite rapid advancements, current text-to-image (T2I) models predominantly rely on a single-step generation paradigm, which struggles with complex semantics and faces diminishing returns from parameter scaling. While recent multi-step reasoning a... read more 
Computer Vision and Pattern Recognition cs.AI

LPH-VTON: Resolving the Structure-Texture Dilemma of Virtual Try-On via Latent Process Handover

arXiv May 14, 2026
Virtual Try-On (VTON) aims to synthesize photorealistic images of garments precisely aligned with a person's body and pose. Current diffusion-based methods, however, face a fundamental trade-off between structural integrity and textural fidelity. In ... read more 
Computer Vision and Pattern Recognition

Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought

arXiv May 14, 2026
As modern microservice systems grow increasingly complex due to dynamic interactions and evolving runtime environments, they experience failures with rising frequency. Ensuring system reliability therefore critically depends on accurate root cause lo... read more 
Software Engineering cs.AI

FactorizedHMR: A Hybrid Framework for Video Human Mesh Recovery

arXiv May 14, 2026
Human Mesh Recovery (HMR) is fundamentally ambiguous: under occlusion or weak depth cues, multiple 3D bodies can explain the same image evidence. This ambiguity is not uniform across the body, as torso pose and root structure are often relatively wel... read more 
Computer Vision and Pattern Recognition cs.AI

SR-Prominence: A Crowdsourced Protocol and Dataset Suite for Perceptually-Weighted Super-Resolution Artifact Evaluation

arXiv May 14, 2026
Modern image super-resolution methods generate detailed, visually appealing results, but they often introduce visual artifacts: unnatural patterns and texture distortions that degrade perceived quality. These defects vary widely in perceptual impact-... read more 
Computer Vision and Pattern Recognition

Exploring Vision-Language Models for Online Signature Verification: A Zero-Shot Capability Study

arXiv May 14, 2026
Recent advancements in Vision-Language Models (VLMs) have demonstrated strong capabilities in general visual reasoning, yet their applicability to rigorous biometric tasks remains unexplored. This work presents an exploratory study evaluating the zer... read more 
Computer Vision and Pattern Recognition

MechVerse: Evaluating Physical Motion Consistency in Video Generation Models

arXiv May 14, 2026
Text- and image-conditioned video generation models have achieved strong visual fidelity and temporal coherence, but they often fail to generate motion governed by kinematic and geometric constraints. In these settings, object parts must remain rigid... read more 
Computer Vision and Pattern Recognition

Editor's Choice: Evaluating Abstract Intent in Image Editing through Atomic Entity Analysis

arXiv May 14, 2026
Humans naturally communicate through abstract concepts like "mood". However, current image editing benchmarks focus primarily on explicit, literal commands, leaving abstract instructions largely underexplored. In this work, we first formalize the def... read more 
Computer Vision and Pattern Recognition
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